Daniel M.

Summary I am an experienced AI data annotator and evaluator with a strong track record in multimodal (video, audio, image-text) tasks, structured labelling, and model quality assessment. I have proven performance across complex annotation domains including medicine, aviation, mathematics, physics, and biology. I am skilled in following detailed rubrics, rating guidelines, and providing high-quality human feedback for training large language models (LLMs). I am seeking freelance or project-based roles in AI data evaluation, QA, and annotation.